人工知能学会第二種研究会資料
Online ISSN : 2436-5556
共著ネットワークによる高被引用論文と撤回論文の系譜の比較
藤田 正典奥戸 嵩登寺野 隆雄長根 裕美
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研究報告書・技術報告書 フリー

2021 年 2021 巻 BI-017 号 p. 07-

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In this paper, we propose a method to show the characteristics of knowledge inheritance and diffusion based on thecoauthor networks of academic papers. We construct coauthor networks from highly cited papers and retracted papers inacademic literature database, and create genealogies of researchers using authorship information. Then we compare andanalyze the characteristics of the genealogies using indexes such as extension / elongation, researcher's discipleship /colleagueship, etc. between each paper groups. In addition, based on the results of analysis by the proposed method, wewill discuss research activities from the organizational perspective.

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